Name: Improbotics: AI Creativity with an Artist-In-The-Loop
Start: 2022-10-04T12:16:00Z
End: 2022-10-04T12:27:28.000Z
Location: BrightTALK
Rating: 0

Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.

More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between. 


Today most organisations rely on data-driven insights to make critical operational and strategic decisions. But given the complexity and vastness of the modern enterprise data ecosystem, finding the right data set and extracting actionable insights is extremely complicated and can be time-consuming. 

When you have access to data and start experimenting with a few AI & ML use cases, how do you ensure you have the right people, process and technology to support your mission and to prepare to scale the AI Mountain?

Join our webcast as we explore ;

- How you can drive value with AI
- Understanding and mitigating risks ahead of time
- Improve and impact your business with the help of AI

We will share some tangible takeaways during this session.

How to Formulate and Implement a Winning AI Strategy

Often, in Dataiku projects, we’ll create a series of preparation steps that we’d like to
“package” for reuse across other use cases or projects. The possibility of creating a standard reusable
plugin works great for steps that we can easily translate into code, but does not help for chains of
visual recipes that are very common in our DSS projects. Utilizing the Dataiku “App as Recipe” feature,
it’s easy to create reusable packages consisting of any number of visual recipes which make it much
easier for your team to reproduce common tasks.

Utilizing the Dataiku “App as Recipe” Feature to Make Your Flows Reusable

Depuis bientôt deux ans, tous les agents de Pôle Emploi, indépendamment de leur profil et de leurs compétences, peuvent être accompagnés sur un cas d’usage afin d’explorer les apports de valeur rendus possibles grâce aux données. Cette offre de services exploratoire, ouverte à tous, facilite l’exploitation du patrimoine de données et la prise d’autonomie. 

Au cours de cette session, vous découvrirez :
1.   L’écosystème Big Data de Pôle emploi
2.   Les offres de services mises en place en fonction de la maturité « data » des agents
3.   La gouvernance des données mise en place par Pôle emploi
4.   Les résultats constatés au cours des deux dernières années

Profitez de cette occasion unique pour apprendre et vous inspirer de l’expérience de Pôle Emploi.

Webinar: La Gouvernance des Données chez Pôle Emploi

2023 annonce un tournant pour les entreprises qui prennent conscience et doivent se préparer aux défis auxquels elles sont confrontées. Autant de défis qui font obstacle à l’innovation et à la quête d’Everyday AI. 

Ce webinar de 30 minutes a pour vocation de vous aider à démarrer l’année 2023 en découvrant les clés pour résoudre les challenges qui gravitent autour de vos projets data.

Stéphanie Griffith, Field CDO & David Talaga, Product Marketing Director chez Dataiku, animeront cet échange afin de vous permettre de vous positionner face à ces challenges, de les appréhender et d’y répondre concrètement. Au programme, qualité, contrôle, opérationnalisation, infrastructure et recrutement !

Les clés pour résoudre les 5 challenges data en 2023

Different financial services organisations, including UBS, First International Bank of Israel (FIBI), and ACI Worldwide share their journey to Everyday AI.

[From the Everyday AI Conference] Perspectives from Around Financial Services

How do we elevate people to make better decisions with data? 
Beyond the tagline, learn it firsthand from Craig Turrell, Head of Digital & Business Science, Finance Operations at Standard Chartered Bank, who will share his award-winning story.

Extraordinary People Behind Everyday AI: Standard Chartered Bank

Companies rarely are at a loss for ideas about AI use cases that could improve their business - but having the technical resources or know-how to tackle these problems is a different story. 

Dataiku's Industry Solutions are off-the-shelf, starter projects and assets that are designed to help solve vertical-specific challenges.

[Everyday AI Conference] Dataiku Business Solutions: Your New Best Friend

Knowing that 97% of the floating plastic entering the oceans ends-up onshore, various organizations are focusing on beach areas to conduct cleanup activities. 
Dataikers and The Ocean Cleanup modelers have collaborated to collect data from over 15 organizations and build the world’s largest beach cleanup database.

Building & Analysing the World's Largest Beach Cleanup Database

Junte-se a Evandro Pacolla, Engenheiro de Soluções da Dataiku, enquanto ele o orienta através de uma introdução e visão geral do Dataiku. Nesta sessão rápida de 30 minutos, você aprenderá como, com uma ferramenta, você pode facilmente passar de dados brutos para o modelo de machine learning em produção usando os recursos visuais de AutoML do Dataiku.

Dataiku 101: Dos dados ao ML em 30 minutos

The Luxoft Analytics team has delivered many Dataiku-based solutions, both internally and externally. 

In this presentation, we discuss key success factors for commercially successful implementations and roll-outs.

[From the Everyday AI Conference] Dataiku for Business by Luxoft

The session will cover how different clients are adopting ML Ops capability for scaling their data science models. 

The key focus of this session will be to share Deloitte’s thinking adapting to the new ML Ops capability and the impact on the operating model for various organisations.

[Everyday AI Conference] MLOps Enablement: The Story Beyond Technology

From Reyjaïvik to Jeddah, EMEA is facing various maturity levels when it comes to AI. 
This video unveils the path toward AI that Dataiku envisions for the region.

[Everyday AI Conference] AI in EMEA: Where We Are and Where We're Heading

GE is a world leader in the manufacture of commercial jet engines, offering products for many of the best-selling commercial airframes. 

GE Aviation has over a hundred Data Scientists using Dataiku to develop analytics and drive insights. In this talk we will share some of the ways we have been using Dataiku to solve our problems and share the successes and lessons learned along the way.

[From the Everyday AI Conference] To the Skies, AI, and Beyond: GE Aviation

多くの企業がAIの取り組みを開始する中、その60%がPoCから本番稼働へと進めていません。その背景には諸々ありますが、データ分析チームの負荷や環境の孤立も要因です。AIを企業の成長に活かすには、AIを活用する領域を広げ、複数のモデルを開発・本番稼働させ、安定的に運用する必要があります。貴社のデータ分析チームはこれをサポートできますか。本セッションでは、現場社員のAI活用についてグローバルの事例を紹介します。また、これを支えるAIプラットフォームについてお話しします。

■講師プロフィール
桂井 良太/マーケット・デベロップメントディレクター
マーケット・デベロップメント ディレクターとしてDataikuの日本市場進出を担当。前職のClarizenでは日本市場の責任者としてソリューションの販売から導入・サポートを担当。それ以前はスカイライトコンサルティング株式会社のマネージャーとして８年間グローバルプロジェクトのPMとして活躍。

Dataikuについてお問い合わせはこちらよりお願いいたします。
https://www.dataiku.com/ja/お問い合わせ/

ビジネスの現場社員をデータ活用人材へ　- 海外の最新AI活用事例3選

[From the Everyday AI Conference]

Nothing and no one works in a vacuum. 
Data engineers, data scientists, and business analysts all need to work together to complete a project. But that’s often not the way it goes. Silos prevent us from working as a cohesive team. 

Utilizing your entire Data Stack, from cloud storage (AWS, Snowflake) to data preparation (Dataiku) and visualization (Tableau, PowerBI), is key to creating a collaborative experience.

Overcome Silos & Enhance Collaboration with Full Stack Solutions

Before data science was in vogue, the humble actuary was one of the original careers using data analytics to drive key functions within insurance and pensions. 

Get an introduction of what an actuary does with an insurance company, the challenges they face, and how the profession is evolving in the new world.

[From the Everyday AI Conference] The Secret Life of an Actuary

According to McKinsey, building ML into processes enables leading organizations to increase their process efficiency by 30% or more while also increasing revenues by up to 10%. However, it’s not that simple. Several blockers prevent organizations from overcoming the difficulties encountered when industrializing AI. As a result, it can take up to nine months for teams to go from the proof of concept stage to production. In this context, how do you remove friction from your MLOps process and make your model processes trusted, agile, and controlled, so that you can finally deliver more value from your analytics and model faster? In this session, you’ll learn how Dataiku’s MLOps framework can help you to:
-Increase agility and solve difficulties in handoffs between business, data scientists, and IT
-Make your models trusted from the get go (and, therefore, reduce risk)
-Apply model control and approvals to enable, not disable, your AI projects

De-Risk Your AI Efforts by Removing Friction From Your MLOps Processes

The growing significance of data and analytics manifests measurably in the market
today. In a 2020 BARC study, 90 percent of respondents agreed that information
has a huge priority in decision-making. However, only 34 percent state that
decisions are made purely or predominantly based on data. In fact, the use of BI &
Analytics has been growing very slowly for years. While a number of companies are
reporting faster and more accurate analytics, only a few achieve truly measurable
benefits. With successful examples of data-driven decision-making gaining more
prominence, executives are left wondering why they are still lagging.

This presentation shares the most frequent challenges on the path to establishing a
data culture. A particular focus is placed on data and analytics literacy, which has
been prompted by many hopefuls as a vital basis for establishing a data culture.

Shaping Data Literacy for Value from Data: How to Empower Data Citizens?

Piotr Mirowski, founder of Improbotics, explains how this revolutionary improv theatre project aims at demystifying how AI works (from speech recognition to chatbots) and how it embraces learning by trial and error.

Improbotics: AI Creativity with an Artist-In-The-Loop

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Data Center Management

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Finance

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CxO Strategy

In the business management community, commercial experts will be sharing webinars and videos on an array of subjects. From sales and marketing, to finance, productivity and growth, this content will help you stay up-to-date with the current economic environment and provide timely management insight to drive business growth.

Improbotics: AI Creativity with an Artist-In-The-Loop

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